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http://hdl.handle.net/10609/78945
Title: Anomaly detection in smart city wireless sensor networks
Author: García Font, Víctor
Director: Garrigues Olivella, Carles  
Rifà Pous, Helena  
Others: Universitat Oberta de Catalunya. Escola de Doctorat
Keywords: information security
smart city
wireless sensor networks
intrusion detection systems
anomaly detection
cybersecurity
Issue Date: 8-Feb-2017
Publisher: Universitat Oberta de Catalunya. Escola de Doctorat
Abstract: This thesis proposes an intrusion detection platform which reveals attacks in smart city wireless sensor networks (WSN). The platform is designed taking into account the needs of smart city administrators, who need access to a centralized architecture that can manage security alarms in a highly heterogeneous and distributed system. In this thesis, we identify the various necessary steps from gathering WSN data to running the detection techniques and we evaluate whether the procedure is scalable and capable of handling typical smart city data. Moreover, we compare several anomaly detection algorithms and we observe that one-class support vector machines constitute the most suitable multivariate technique to reveal attacks, taking into account the requirements in this context. Finally, we propose a classification schema to assist administrators in identifying the types of attacks compromising their networks.
Language: English
URI: http://hdl.handle.net/10609/78945
Appears in Collections:Doctoral Thesis

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